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Cited by 894

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Deeper Inside PageRank

Open access
Langville, Amy, Meyer, Carl·2004·Internet Mathematics

Abstract

This paper serves as a companion or extension to the "Inside PageRank" paper by Bianchini et al. [Bianchini et al. 03]. It is a comprehensive survey of all issues associated with PageRank, covering the basic PageRank model, available and recommended solution methods, storage issues, existence, uniqueness, and convergence properties, possible alterations to the basic model, suggested alternatives to the traditional solution methods, sensitivity and conditioning, and finally the updating problem. We introduce a few new results, provide an extensive reference list, and speculate about exciting areas of future research.

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Metadata

Authors
Langville, A., & Meyer, C.
Venue
Internet Mathematics
Published
2004-01-01
Volume
1
Issue
3
Pages
335-380
ISSN
1542-7951 (ISSN-L)
OpenAlex
W2014478203
Cited by
894
References
84
FWCI
51.36
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Deeper Inside PageRank. https://app.cochat.ai/papers/10.1080/15427951.2004.10129091
The paper
Langville, A., & Meyer, C. (2004). Deeper Inside PageRank. Internet Mathematics. https://doi.org/10.1080/15427951.2004.10129091

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.